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If you listen real close you can hear the type whispers in there.
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A todo list full of secrets.
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The one great principle of the English law is, to make business for itself.
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Who is he that hideth counsel without knowledge?
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A year ago, as I was going through a mound of keepsakes my Mom transferred to my custody (I have reached that age, yes), I came across a little book I made in kindergarten describing my first bicycle crash, which I attributed to rolling over a pine-cone.
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And they said, Go to, let us build us a city and a tower, whose top may reach unto heaven; and let us make us a name, lest we be scattered abroad upon the face of the whole earth.
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Back in the spring of 2019, I began working on cysqlite, a from-scratch DB-API compatible SQLite driver.
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A man's at odds to know his mind cause his mind is aught he has to know it with.
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I feel that it is high time that Peewee had an assyncio story.
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Edit 2026-01: peewee now supports asyncio, and a bit more detail here.
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I'd like to share a simple trick I use to reduce roundtrips pulling data from a cache server (like Redis or Kyoto Tycoon.
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I'm pleased to announce that Peewee now supports CockroachDB (CRDB), the distributed, horizontally-scalable SQL database.
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With the release of Python 3.8 coming soon, the core development team has asked me to summarize our latest discussions on the new features planned for Python 4.0, codename "ouroboros: the snake will eat itself".
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I recently wrote about Kyoto Tycoon (KT), a fast key/value database server.
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I saw an excellent article recently describing how to implement the fire effect seen in the trailer for the N64/PlayStation ports of the DooM game.
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I've been interested in using Kyoto Tycoon for some time.
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In this post I'll present a short code snippet demonstrating how to use Redis streams to implement a multi-process task queue with Python.
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Redis 5.0 contains, among lots of fixes and improvements, a new data-type and set of commands for working with persistent, append-only streams.
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In this post I'll provide instructions for building a standalone Python sqlite3-compatible module which is powered by BerkeleyDB.
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I began an unlikely adventure into Python packaging this week when I made what I thought were some innocuous modifications to the source distribution and setup.py script for the peewee database library.
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The upcoming SQLite 3.25.0 release adds support for one of my favorite SQL language features: window functions.
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I recently open-sourced a Python library for working with the networked key/value databases Kyoto Tycoon and Tokyo Tyrant.
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On Monday of this week I merged in the 3.0a branch of peewee, a lightweight Python ORM, marking the official 3.0.0 release of the project.
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The Python standard library sqlite3 driver comes with a barely-documented hook for implementing basic authorization for SQLite databases.
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The other day the idea occurred to me that it would be neat to write a simple Redis-like database server.
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Several months ago I was delighted to see significant progress on a relatively new extension in the SQLite source tree.
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Task queues are frequently deployed alongside websites to do background processing outside the normal request/response cycle.
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In this post I'd like to share with you some techniques for effectively working with SQLite using Python.